From Data Quality Checks to Analytics-Ready Parquet with Python

In the first article, I walked through a small Python data quality ETL starter that reads messy CSV, Excel, JSON, and API-style data, validates it, cleans it, exports it, and generates quality reports. Previous article: Build a Python Data Quality ETL Starter for Messy CSV, Excel, JSON, and API-Style Data This follow-up focuses on the v0.4.0 update of the same project: Data Quality ETL Starter on GitHub The new goal is still intentionally small. This is not a data warehouse, a BI platform, an Ai